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American Association for Artificial Intelligence Ser.: Data Mining : Next Generation Challenges and Future Directions by Anupam Joshi (2004, Trade Paperback)
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DATA MINING: NEXT GENERATION CHALLENGES AND FUTURE DIRECTIONS (AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE) By Hillol Kargupta & Anupama Joshi & Krishnamoorthy Sivakumar & Yelena Yesha **Mint Condition**.
- Buy it nowDATA MINING: NEXT GENERATION CHALLENGES AND FUTURE By Hillol Kargupta & Anupama
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About this product
Product Identifiers
PublisherMIT Press
ISBN-100262612038
ISBN-139780262612036
eBay Product ID (ePID)30877191
Product Key Features
Number of Pages528 Pages
LanguageEnglish
Publication NameData Mining : Next Generation Challenges and Future Directions
Publication Year2004
SubjectIntelligence (Ai) & Semantics, Databases / Data Mining
TypeTextbook
AuthorAnupam Joshi
Subject AreaComputers
SeriesAmerican Association for Artificial Intelligence Ser.
FormatTrade Paperback
Dimensions
Item Height1.3 in
Item Weight27.4 Oz
Item Length9 in
Item Width6.4 in
Additional Product Features
Intended AudienceCollege Audience
LCCN2005-272379
Dewey Edition22
IllustratedYes
Dewey Decimal006.3/12
SynopsisA state-of-the-art survey of recent advances in data mining or knowledge discovery. Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data sets now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research. The first part looks at pervasive, distributed, and stream data mining, discussing topics that include distributed data mining algorithms for new application areas, several aspects of next-generation data mining systems and applications, and detection of recurrent patterns in digital media. The second part considers data mining, counter-terrorism, and privacy concerns, examining such topics as biosurveillance, marshalling evidence through data mining, and link discovery. The third part looks at scientific data mining; topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics, and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects.
LC Classification NumberQA76.9.D343
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